This guide outlines how organizations can implement “secure by design” principles in AI-driven development by embedding security guardrails across the entire development lifecycle. It explains that AI-generated code introduces significant risk, making early validation essential to prevent vulnerabilities before they enter repositories or pipelines. The guide details layered guardrails including IDE scanning, pull request checks, CI/CD enforcement, AI-powered fix suggestions, and policy-driven controls that operate continuously. It also highlights the importance of turning policies into enforceable, auditable controls with real-time telemetry for compliance. A phased adoption approach is recommended, starting with foundational controls and scaling toward automated governance and reporting.

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